ChatbotExample

Cognitive Service Personalization

This sample shows how Cognitive Service Personalization can be integrated with a chat bot.

Run Personalization Chatbot

In order to run this example:

1. Read through README-LuisBot.md to setup LuisBot
2. In RLFeatures.cs, modify HostName to a deployed Personalization Service
3. Follow the instructions in README-LuisBot.md to run the bot

Interact with Chatbot

The chatbot can understand human inputs by defined "Intents" and "utterances". Those definitions can be found in coffeebot.json.

For example, if you type "what do you suggest", Luis will be able to categorize it as the Intent - "ChooseRank".

Intent Processing

In this example, Luis Intents will be processed in LuisBot.cs and then it will call the Ranking API to get a suggestion, shown below:

public async Task OnTurnAsync(ITurnContext turnContext, CancellationToken cancellationToken = default(CancellationToken))
{
    if (turnContext.Activity.Type == ActivityTypes.Message)
    {
        var recognizerResult = await _services.LuisServices[LuisKey].RecognizeAsync(turnContext, cancellationToken);
        var topIntent = recognizerResult?.GetTopScoringIntent();
        if (topIntent != null && topIntent.HasValue && topIntent.Value.intent != "None")
        {
            Intents intent = (Intents)Enum.Parse(typeof(Intents), topIntent.Value.intent);
            switch (intent)
            {
                ...
                case Intents.ChooseRank:
                    var response = await ChooseRankAsync(turnContext, _rlFeaturesManager.GenerateEventId());
                    await turnContext.SendActivityAsync($"What about {response.RewardActionId}");
                    break;
                ...
            }
            ...
        }
        ...
    }
    ...
}